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author | Paul "LeoNerd" Evans <paul@matrix.org> | 2014-12-11 18:35:05 +0000 |
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committer | Paul "LeoNerd" Evans <paul@matrix.org> | 2014-12-11 18:35:05 +0000 |
commit | 0b700233737adfa3c6558e988822e7f9ee31ca39 (patch) | |
tree | eac8aff9fb9f58da245c9c3e7a80fa13ac5e1eb1 /synapse/media/v1/thumbnailer.py | |
parent | Merge remote-tracking branch 'origin' into typing_notifications (diff) | |
parent | Merge branch 'develop' of github.com:matrix-org/synapse into develop (diff) | |
download | synapse-0b700233737adfa3c6558e988822e7f9ee31ca39.tar.xz |
Merge branch 'develop' into typing_notifications
Diffstat (limited to 'synapse/media/v1/thumbnailer.py')
-rw-r--r-- | synapse/media/v1/thumbnailer.py | 89 |
1 files changed, 89 insertions, 0 deletions
diff --git a/synapse/media/v1/thumbnailer.py b/synapse/media/v1/thumbnailer.py new file mode 100644 index 0000000000..774ae4538f --- /dev/null +++ b/synapse/media/v1/thumbnailer.py @@ -0,0 +1,89 @@ +# -*- coding: utf-8 -*- +# Copyright 2014 OpenMarket Ltd +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import PIL.Image as Image +from io import BytesIO + + +class Thumbnailer(object): + + FORMATS = { + "image/jpeg": "JPEG", + "image/png": "PNG", + } + + def __init__(self, input_path): + self.image = Image.open(input_path) + self.width, self.height = self.image.size + + def aspect(self, max_width, max_height): + """Calculate the largest size that preserves aspect ratio which + fits within the given rectangle:: + + (w_in / h_in) = (w_out / h_out) + w_out = min(w_max, h_max * (w_in / h_in)) + h_out = min(h_max, w_max * (h_in / w_in)) + + Args: + max_width: The largest possible width. + max_height: The larget possible height. + """ + + if max_width * self.height < max_height * self.width: + return (max_width, (max_width * self.height) // self.width) + else: + return ((max_height * self.width) // self.height, max_height) + + def scale(self, output_path, width, height, output_type): + """Rescales the image to the given dimensions""" + scaled = self.image.resize((width, height), Image.BILINEAR) + return self.save_image(scaled, output_type, output_path) + + def crop(self, output_path, width, height, output_type): + """Rescales and crops the image to the given dimensions preserving + aspect:: + (w_in / h_in) = (w_scaled / h_scaled) + w_scaled = max(w_out, h_out * (w_in / h_in)) + h_scaled = max(h_out, w_out * (h_in / w_in)) + + Args: + max_width: The largest possible width. + max_height: The larget possible height. + """ + if width * self.height > height * self.width: + scaled_height = (width * self.height) // self.width + scaled_image = self.image.resize( + (width, scaled_height), Image.BILINEAR + ) + crop_top = (scaled_height - height) // 2 + crop_bottom = height + crop_top + cropped = scaled_image.crop((0, crop_top, width, crop_bottom)) + else: + scaled_width = (height * self.width) // self.height + scaled_image = self.image.resize( + (scaled_width, height), Image.BILINEAR + ) + crop_left = (scaled_width - width) // 2 + crop_right = width + crop_left + cropped = scaled_image.crop((crop_left, 0, crop_right, height)) + return self.save_image(cropped, output_type, output_path) + + def save_image(self, output_image, output_type, output_path): + output_bytes_io = BytesIO() + output_image.save(output_bytes_io, self.FORMATS[output_type]) + output_bytes = output_bytes_io.getvalue() + with open(output_path, "wb") as output_file: + output_file.write(output_bytes) + return len(output_bytes) |